DataBricks: Proficiency in using DataBricks for data engineering, analytics, and machine learning is a plus
DevOps: Proficiency with GitHub Actions, AWS CDK, and CICD pipeline development.
SQL/PLSQL: Strong skills in reading, understanding, and working with SQL and PLSQL code.
Python Development: Experience in Python programming, particularly in the context of data processing.
AWS Development: Solid experience with AWS services, especially in data-centric projects.
PySpark/Glue API: Hands-on experience with PySpark and/or AWS Glue API development.
Documentation/Communication: Excellent ability to document processes and communicate complex concepts effectively.
MS Fabric: Experience with MS Fabric for enhancing data visualization and integration.